1 / 20

Model Selection Tradeoff: Bias-Variance, Optimism, and In-sample Error

Learn about the tradeoff between bias and variance in model selection, understanding the optimism of training error, estimating in-sample prediction error with BIC and VC dimension, and using bootstrap for better model performance.

levik
Download Presentation

Model Selection Tradeoff: Bias-Variance, Optimism, and In-sample Error

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 7: Model Selection • Bias Variance Tradeoff • Optimism of Training Error • Estimates of In-sample Prediction Error • BIC • VC Dimension • Bootstrap

More Related